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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing Views | - Create, modify and drop views - Updatable and read-only views | |
| Topic 2: Relational Database Concepts | 10% | - Relationship between database and SQL - Theoretical and physical aspects of relational databases - ERD and SQL statement mapping |
| Topic 3: Managing Indexes, Synonyms and Sequences | - Create and use synonyms - Create and use sequences - Create and maintain indexes | |
| Topic 4: Restricting and Sorting Data | 15% | - ORDER BY clause and sorting rules - Operator precedence - WHERE clause and filtering conditions - Substitution variables, DEFINE and VERIFY commands |
| Topic 5: Using SET Operators | - Ordering results with set operations - UNION, UNION ALL, INTERSECT, MINUS operators | |
| Topic 6: Controlling User Access | - Roles, granting and revoking privileges - System and object privileges | |
| Topic 7: Displaying Data from Multiple Tables | 15% | - Cartesian products - Self-joins and outer joins - Equijoins and non-equijoins |
| Topic 8: Using Subqueries to Solve Queries | - Single-row and multi-row subqueries - Correlated subqueries for update/delete | |
| Topic 9: Retrieving Data Using SQL SELECT Statement | 20% | - Column aliases, concatenation, literals and DISTINCT - SELECT statement syntax and usage - Arithmetic operations and NULL handling |
| Topic 10: Working with Time Zones and Date/Time Data | - Time zone conversion functions - TIMESTAMP, INTERVAL data types | |
| Topic 11: Using Data Dictionary Views | - Retrieve metadata and object information | |
| Topic 12: Manipulating Data and Managing Transactions | - Transaction control: COMMIT, ROLLBACK, SAVEPOINT - Multi-table inserts - INSERT, UPDATE, DELETE, MERGE statements | |
| Topic 13: Aggregating Data Using Group Functions | 10% | - GROUP BY and HAVING clauses - SUM, AVG, COUNT, MAX, MIN functions - Handling NULLs in group functions |
| Topic 14: Conversion Functions and Conditional Expressions | 10% | - Implicit and explicit data type conversion - TO_CHAR, TO_NUMBER, TO_DATE functions - NVL, NULLIF, COALESCE and CASE expressions |
| Topic 15: Using Single-Row Functions to Customize Output | 20% | - Nested functions usage - Character, number, and date functions |
| Topic 16: Managing Tables and Constraints | - Constraints: primary key, foreign key, unique, check, not null - Data types, creating/altering/dropping tables - Temporary and external tables |
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NEW QUESTION # 388
Examine this SELECT statement and view the Exhibit to see its output:
SELECT constraints_name, constraints_type, search_condition, r_constraints_name, delete_rule, status, FROM user_constraints WHERE table_name = 'ORDERS';
Which two statements are true about the output? (Choose two.)
Answer: B,D
NEW QUESTION # 389 
For each employee in department 90 you want to display:
1. their last name
2. the number of complete weeks they have been employed
The output must be sorted by the number of weeks, starting with the longest serving employee first.Which statement will accomplish this?
Answer: D
Explanation:
D). True. The TRUNC function, when applied to the difference between SYSDATE and hire_date divided by
7, will return the number of complete weeks of employment. The ORDER BY tenure DESC will sort the result in descending order, starting with the longest-serving employee.
A is incorrect because it does not include the DESC keyword necessary to start with the longest-serving employee. B is incorrect because ROUND could result in rounding up to the next week, which does not give the number of complete weeks. C is incorrect because the division is done by 17 instead of 7, which is likely a typo, and ROUND is used instead of TRUNC.
NEW QUESTION # 390
Examine the description of the SALES1 table:
SALES2 is a table with the same description as SALES1,
Some sales data is duplicated In both tables.
You want to display the rows from the SALES1 table which are not present in the SALIES2 table.
Which set operator generates the required output?
Answer: C
NEW QUESTION # 391
View and Exhibit and examine the structure and data in the INVOICE table. (Choose two.) Which two statements are true regarding data type conversion in query expressions?
Answer: A,D
NEW QUESTION # 392 
For each employee in department 90 you want to display:
1. their last name
2. the number of complete weeks they have been employed
The output must be sorted by the number of weeks, starting with the longest serving employee first.Which statement will accomplish this?
Answer: D
NEW QUESTION # 393
......
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